103 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" research jobs in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- University of Oxford
- UCL;
- AALTO UNIVERSITY
- KINGS COLLEGE LONDON
- University of Oxford;
- University of Nottingham
- University of Cambridge;
- University of Glasgow
- UNIVERSITY OF SOUTHAMPTON
- UNIVERSITY OF SURREY
- University of Leeds
- Aston University
- Cardiff University
- Imperial College London
- Plymouth University
- University of Sheffield
- Bournemouth University;
- Durham University
- Heriot Watt University
- Lancaster University
- NORTHUMBRIA UNIVERSITY
- Nature Careers
- Northumbria University
- THE UNIVERSITY OF HONG KONG
- The University of Edinburgh;
- Ulster University;
- University College London
- University of Birmingham
- University of Bristol
- University of Cambridge
- University of Dundee
- University of Leeds;
- University of Liverpool
- University of London
- University of Manchester
- University of Warwick;
- 26 more »
- « less
-
Field
-
for continuous tremor monitoring in Parkinson’s disease. Working with Dr Anne Bernassau and Prof Marc Desmulliez, the PDRA will support hardware optimisation, data acquisition, machine-learning
-
Surrey’s track record of translating fundamental machine learning, spatial audio and audio-visual AI into groundbreaking creative technology. About you We seek a talented Research Fellow to investigate
-
in C++ and/or Python is expected, and experience in model analysis and parameter optimisation is beneficial. Experience in machine learning and neural networks is desirable. The successful applicant
-
, b) computational modelling, or c) machine learning. This is a complex project managing longitudinal data from a range of sources. Therefore, thoroughness and attention to detail while managing
-
environments will provide the successful candidate with opportunities to learn from a large network of talented professionals. Prof. Mariam Jamal-Hanjani is Principal Investigator of the TRACERx study at UCL
-
combination of remote sensing, machine learning, historical map analysis, records-based research and selective archaeological surveys. It is working to make records of these sites openly available in an Arches
-
, using a combination of remote sensing, machine learning, historical map analysis, records-based research and selective archaeological surveys. It is working to make records of these sites openly available
-
statistical machine learning techniques to mine self-reports and sensor data to gain new insights towards assessment and longitudinal monitoring of bipolar disorder; b) work on sleep datasets exploring
-
component disciplines; in explainable multi-modal deep learning models, in causal statistical models and in human-machine teaming and AI ethics. The researcher will conduct internationally-leading research in
-
, funded by a Leverhulme Trust Research Leadership Award held by Dr Alessio Spurio Mancini. ECLIPSE's goal is to develop next-generation inference frameworks that combine machine learning with rigorous